code: def sample(cls, x, num=None):
      if isinstance(x, list):
          return random.sample(x, num)
      elif isinstance(x, int):
          return np.random.randint(1, x - 1)
  
imports: import math
  import random
  import numpy
  import pandas
  from multiprocessing.dummy import Pool
  from nlpaug.util import Action, Method, WarningException, WarningName, WarningCode, WarningMessage
label_desc: Use image node_id 17 for calling the Augmenter obj's underlying member method code with example usage: obj.sample(cls, x, num) and returns: random, np